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Published October 1, 2024 | Version v1
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Image Dataset for Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images

Authors/Creators

Description

The images included in this .zip file compose the data set for Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images, which is currently under review. They were systematically generated using the DALL-E 3 API. There are 4,000 photos in total. These photos were utilized in a project that sought to identify fatphobic sentiments in AI-generated images. 

The photos are organized into "Negative" and "Positive" categories, meaning that the photo was generated based on a negative or positive character trait. There are 20 prompt terms for each of these categories, which were entered into DALL-E 3 to generate the photos. For example, the photos in "1-civilized" came from the prompt "photo of a person who is civilized."

Corresponding labels for each photograph, which indicate the weight, race, and gender of each AI-generated person, can be found in the project's Anonymous Github repository. 

Files

decoding_fatphobia_photos.zip

Files (4.1 GB)

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Additional details

Software

Programming language
Python
Development Status
Active